Records problem
Unsearchable aircraft records and how to fix them
Unsearchable records are document sets that exist but cannot be located, queried, or navigated, so a reviewer cannot pull the evidence behind a given AD, part, or task without reading the whole binder. This page is for lessors, airlines, and maintenance organizations holding a record set that is present but unusable for diligence at its current speed. The work assesses how the set is structured, named, indexed, and text-searchable, then defines the index, taxonomy, and text capture that make specific evidence retrievable on demand. You receive a navigability assessment and a structuring plan that turns the pile into a searchable, indexed record set.
When this review is needed
- A data room holds thousands of files with no index, so finding the evidence for one AD means opening many of them.
- Files are named by scanner output rather than by what they contain, and folders carry no consistent structure.
- Images have no text layer, so a search for a part or task number returns nothing even when it is in the documents.
- A diligence timetable cannot be met because every request becomes a manual hunt through the binder.
The problem
A record set can be complete and still be unusable if nothing inside it can be found on demand. Diligence is run against questions, which AD is closed, where is this part's release, what backs this repair, and answering each one means opening file after file when there is no index, no consistent naming, and no text layer to search. The cost is time and missed deadlines, and reviewers start raising findings for evidence that is present but buried, because the binder gives them no way to confirm it is there.
What gets reviewed
- The folder structure and naming convention against what a reviewer needs to retrieve
- Presence and accuracy of an index or manifest mapping documents to record categories
- Whether images carry a text layer so part, task, and AD numbers are searchable
- Tagging of documents by aircraft, system, event, and date to support filtering
- Coverage of the index across the set, with no documents left uncatalogued
- Cross-references that let a status item lead to the evidence file behind it
Scope this review
Tell us the asset, the event, and the evidence in scope, and we will outline a focused first engagement.
Send a representative, redacted record set and we will scope the review.
What gets validated
- Any document can be located from its record category, date, or reference without opening unrelated files
- File and folder names describe the content rather than the scanner output that produced them
- A search for a part, task, or AD number returns the documents that contain it
- The index covers every document in the set, with nothing uncatalogued or unreachable
- Documents are tagged consistently by aircraft, system, and event so the set can be filtered
- A status-list item can be followed to the specific evidence file that supports it
Evidence normally required
- The record set or data room as currently structured
- Any existing index, manifest, or folder map, however partial
- The record categories and reference schemes the review needs to query against
- Sample queries the reviewers expect to run, by AD, part, task, and event
- The aircraft and component identifiers used across the set
Common discrepancies
- A data room with no index, where evidence for one item is spread across many unlabelled files
- File names that carry scanner output instead of the document type or reference
- Image-only scans with no text layer, so a search for a known number returns nothing
- Documents that exist but are uncatalogued, so they are effectively unreachable
- Inconsistent tagging that makes filtering by aircraft, system, or event unreliable
- Status items with no link to the evidence file behind them, forcing a manual hunt for each
What is at stake
An unsearchable set slows every downstream review and inflates the apparent gap list, because evidence that cannot be found reads the same as evidence that is missing. On a transaction clock, that translates into delay, repeated requests to the holder, and a real risk that a deal or return is mispriced against a record set no one could fully navigate in time.
Move from findings to resolution
Sequence the fixes and the documentation that closes each finding.
How the work runs
Profile the set
Map the current structure, naming, index, and text-search state against the queries the review must run.
Grade findability
Test sample retrievals by AD, part, task, and event and record where the set fails to surface known evidence.
Design the structure
Define the index, naming convention, taxonomy, and text capture that make specific documents retrievable on demand.
Map evidence to status
Link status-list items to their supporting files so a reviewer can move from a claim to its evidence directly.
What the buyer receives
- A navigability assessment grading how findable the set is against the queries the review must run
- A structuring plan defining the index, naming, taxonomy, and text capture the set needs
- A reference map linking status-list items to the evidence files that support them
Who uses the output
- Records teams structuring and indexing the set for a transaction or return
- Diligence and acquisition teams who need to retrieve evidence on demand
- Asset managers preparing a data room that a counterparty can navigate at speed
How the work fits into the transaction or program
Indexing and search remediation comes after the images are legible and before the content review begins in earnest, because a reviewer has to find a document before they can assess it. It pairs with a scan-quality pass and feeds the data room that a records audit and a transaction depend on.
Jurisdiction-specific considerations
An authority or counterparty that accepts electronic records expects to retrieve a specific document on request, so a set that holds everything but surfaces nothing can still fail a query. Where records cross authorities, the index and reference scheme have to map to the categories each reviewer asks against.
Regulatory limits
This work makes an existing record set findable and queryable and identifies what is uncatalogued. It does not validate the content of the documents, supply records that are genuinely absent, or determine that the set meets any authority's acceptance criteria.
What this review does not cover
- Content review of the documents, which follows once the set is navigable
- Sourcing or reconstruction of records that are truly missing rather than misfiled
- Any airworthiness determination or regulatory acceptance of the record set
Specific to this review
- Evidence that cannot be found reads the same as evidence that is missing, so an unsearchable set inflates the gap list even when the documents are present.
- Image-only scans have no text layer, so a search for a known part or AD number returns nothing despite the number being on the page.
- Findability is graded against the actual queries a review runs, by AD, part, task, and event, rather than by whether files merely exist.
- A document that is present but uncatalogued is treated as unreachable, because a reviewer working to a clock has no way to surface it.
Sources
Federal Aviation Administration. FAA acceptance criteria for electronic recordkeeping systems and electronic signatures.
Federal Aviation Administration. FAA guidance on making and keeping maintenance records and acceptable recordkeeping practices.
U.S. Government (eCFR). Records an owner or operator must keep, including total time in service, current status of life-limited parts, and AD compliance.
U.S. Government (eCFR). Maintenance recordkeeping content and approval-for-return-to-service requirements, including 43.9, 43.11, and Appendix B.
European Union / EASA. Continuing airworthiness, maintenance records, CAMO responsibilities, and the airworthiness review process in the EASA system.
Frequently asked questions
Our records are all scanned, so why can't we search them?
Scanned images are pictures of pages with no text underneath unless text capture was applied. Without it, and without a consistent index and naming scheme, a search returns nothing and every retrieval is manual. The work adds the text layer, index, and taxonomy that make the set queryable.
Is this the same as a records audit?
No. A records audit assesses what the documents say and whether status is supported. This work makes the set navigable so that audit can run efficiently, by getting a reviewer from a question to the right document without reading the whole binder.
Relevant glossary terms
Related pages
Where this fits
Talk to an engineer who has done this work
We will walk through your current state, the records or evidence involved, and a scoped first engagement.
Walk through your situation with an engineer who has done this work.